Twitxy Saved

Ilia Igashov

@igashov

PhD student at LPDI, EPFL πŸ‡¨πŸ‡­ Artificial Intelligence & Structural Biology
igashov.github.io Joined August 2020
348 Following 1.3K Followers 173 Posts

Latest posts 5

Ilia Igashov @igashov
Science is about to get a lot faster! Congrats to the b12 team πŸš€
Andres M Bran Verified account @drecmb Oct 13
At b12 Labs (YC S25) our mission is making the molecules AI designs. b12 Foundry is a significant step in that direction, and we’re excited to share that today!

Synthesis is a complex problem of carefully orchestrated planning and execution. We have worked intensely on planning (link to selenium), but the execution is what makes it all real.

We partnered with the HTEL at the University of Zurich to convert a state of the art automation facility into an advanced machine for producing molecules.

At the b12 Foundry, our agents and chemists collaborate day and night to produce valuable molecules, reactions and data with a flexibility and quality that few other places in the world can demonstrate.

Today, more than ever, it’s clear that the future of drug development starts with exquisitely designed molecules. We need to be able to make those complex molecules, and to make them efficiently, starting today.

If you have molecules that are hard to make, need experimental data generated, or are simply excited by robots + chemistry + AI, get in touch.

Read on in the comments πŸ‘‡

#AI4Science #LabAutomation #Chemistry #DrugDiscovery #DeepTech #BioTech #AI
View quoted post on X
1 replies 1 reposts 12 likes 985 views View on X
Ilia Igashov @igashov
Check out an amazing animation from @AdrDobbel demonstrating synthesizable design with LDDM in action! In this case, we designed novel BRD4 binders that were further produced and validated in the wet lab πŸ§ͺ
Happy to share our preprint: "A Unified 3D Generative Model for Synthesizable Structure-Based Drug Design". Highlights, preprint, and code below: 🧡1/10
View quoted post on X
Ilia Igashov @igashov
🚨 Check out DrugFlow, our new generative model for structure-based drug design. DrugFlow provides an atom-level confidence score for each designed molecule, and can adjust molecular size on the fly!

Additional details in thread 🧡

#ICLR2025
Arne Schneuing @rneschneuing Mar 7, 2025
The code & camera-ready version of our #ICLR2025 paper on "Multi-domain Distribution Learning for De Novo Drug Design" are now available

πŸ“š Paper: openreview.net/forum?id=g3VCI…

πŸ’» Code: github.com/LPDI-EPFL/Drug…

(1/4)
View quoted post on X